Lecture 5 of 41 Viewing 3 of 4: Normalizing Transformation and Fixed-Function Graphics...

Computing & Information SciencesKansas State University

CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

William H. Hsu

Department of Computing and Information Sciences, KSU

KSOL course pages: http://bit.ly/hGvXlH / http://bit.ly/eVizrE

Public mirror web site: http://www.kddresearch.org/Courses/CIS636

Instructor home page: http://www.cis.ksu.edu/~bhsu

Readings:

Today: Section 2.3 (esp. 2.3.7), 2.6, 2.7, Eberly 2e – see http://bit.ly/ieUq45

Next class:

This week: FVFH slides on Viewing

Viewing 3 of 4:Normalizing Transformation andFixed-Function Graphics Pipeline

Lecture 5 of 41

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Lecture Outline

Reading for Last Class: Chapters 2, 16, Eberly 2 e; Foley et al. Slides

Reading for Today: Section 2.3 (esp. 2.3.7), 2.6, 2.7, Eberly 2 e

Reading for Next Class: §2.5.1, 3.1 Eberly 2e

Last Time: Basic Viewing Principles

Projections: definitions, history

Perspective: optical principles, terminology

Today: View Volume Specification and Viewing Transformation

View volumes: ideal vs. approximated

Frustum in computer graphics (CG)

Specifying view volume in CG: Look and Up vectors

Aspect ratio, view angle, front/back clipping planes

Focal length

Parallel (cuboid) view volume & perspective frustum

Normalizing transformation (NT) & viewing transformation (VT)

Next Time: Fixed-Function Graphics Pipeline

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Introduction to Computer GraphicsLecture 5 of 41

Where We Are

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Introduction to Computer GraphicsLecture 5 of 41

Acknowledgements

James D. Foley

Georgia Tech

http://bit.ly/ajYf2Q

Andries van Dam

Brown University

http://www.cs.brown.edu/~avd/

Steven K. Feiner

Columbia University

http://www.cs.columbia.edu/~feiner/

John F. Hughes

Brown University

http://www.cs.brown.edu/~jfh/

Andy van DamT. J. Watson University Professor of Technology and Education & Professor of Computer Science

Brown University

Steve FeinerProfessor of Computer Science & Director, Computer Graphics and User Interfaces Laboratory

Columbia University

John F. HughesAssociate Professor of Computer Science

Brown University

Jim FoleyProfessor, College of Computing & Stephen Fleming Chair in Telecommunications

Georgia Institute of Technology

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Introduction to Computer GraphicsLecture 5 of 41

Review:Types of Projections

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Computing & Information SciencesKansas State University

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Introduction to Computer GraphicsLecture 5 of 41

Review:Synthetic Camera for 3-D Viewing

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Computing & Information SciencesKansas State University

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Introduction to Computer GraphicsLecture 5 of 41

Review:Look and Up Vectors

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Review: View Volume forParallel Projection

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Review: View Volume forPerspective Projection

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Viewing in Three Dimensions:Mathematics of Projections

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Stage 1:Specifying View Volume

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Examples of View Volume [1]:Perspective (Frustum)

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Examples of View Volume [2]:Parallel (Cuboid)

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Viewing Transformation:World (x, y, z) to Camera (u, v, w)

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Arbitrary View VolumeToo Complex

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Stage 2:Normalizing to Canonical View Volume

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Viewing Transformation Normalizing Transformation

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Building Viewing TransformationFrom View Specification

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Rotation [1]

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Rotation [2]

Computing & Information SciencesKansas State University

21

CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Rotation [3]

Computing & Information SciencesKansas State University

22

CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Rotation [4]

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Construction of Orientation Matrix

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Finding (u, v, w) fromPosition, Look, and Up [1]

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Finding (u, v, w) fromPosition, Look, and Up [2]

Computing & Information SciencesKansas State University

26

CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Finding (u, v, w) fromPosition, Look, and Up [3]

Computing & Information SciencesKansas State University

27

CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Finding (u, v, w) fromPosition, Look, and Up [4]

Computing & Information SciencesKansas State University

28

CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Finding (u, v, w) fromPosition, Look, and Up [5]

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Transforming to Canonical View

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Normalizing View Volume:Overview

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Normalizing View Volume:Step 1

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Normalizing View Volume:Step 2

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Normalizing View Volume:Step 3

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Normalizing View Volume:Step 4

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Normalizing View Volume:Step 5

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Normalizing View Volume:Step 6

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Normalizing View Volume:Step 7

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Normalizing View Volume:Step 8

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Normalizing View Volume:Results

Computing & Information SciencesKansas State University

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Perspective Transformation [1]

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Perspective Transformation [2]

Computing & Information SciencesKansas State University

42

CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Perspective Transformation [3]

Computing & Information SciencesKansas State University

43

CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Perspective Transformation [4]

Computing & Information SciencesKansas State University

44

CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Perspective Transformation [5]

Computing & Information SciencesKansas State University

45

CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Perspective Transformation:End Result

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Stage 3:Making 2-D Image

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Clipping

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Final Projection:Viewport Mapping

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CIS 536/636

Introduction to Computer GraphicsLecture 5 of 41

Adapted from slides © 1997 – 2010 van Dam et al., Brown University

http://bit.ly/hiSt0f Reused with permission.

Fixed Function Graphics Pipeline:Composite Transformation Matrix

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Introduction to Computer GraphicsLecture 5 of 41

Putting It All Together:Coordinate Spaces & Transformations

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Summary

Last Time: View Volume Specification and Viewing Transformation

View volumes: ideal vs. approximated

Specifying view volume in CG: Look and Up vectors

Aspect ratio, view angle, front/back clipping planes, focal length

Today

Viewing transformation (NT)

Rotation

Finding camera coordinates (u, v, w) from Look, Up

Normalizing transformation (NT)

Perspective transformation D

Overall CTM of fixed-function pipeline

Intro to clipping

Coming Week

Lab: OpenGL basics

Drawing lines, polygons

Parametric clipping

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Terminology

Today: View Volumes, Viewing Transformation

Parallel projection (cuboid) view volume vs. perspective projection frustum

Front/back (near/far) clipping planes

World coordinates (canonical): (x, y, z)

User coordinates (arbitary): (u, v, w), aka (u, v, n) or (R, U, D) in Eberly

Perspective transformation D: “morphs” frustum into cuboid

Normalizing transformation: inverse of viewing transformation (easier)

Other Topics

Clipping

Given view volume

Problem of determining visible elements of scene

Cumulative Transformation Matrices (CTM)

Translation, Rotation, Scaling (TRS)

Used to map arbitrary view to canonical view

Then “ready to take picture”